Senior Data Engineer

Position: Senior Data Engineer, 36670111

Role Overview

The Fin Ops Tools team is seeking a Senior Data Engineer. Your role will involve analyzing and preparing data for ingestion, developing new and supporting existing highly available data products, models, and data marts in a Hadoop environment. Your work will drive our Fin Ops Cloud Infrastructure Cost Management as well as Capacity Forecasting decisions.

What you get to do in this role

• Analyze and prepare data for ingestion, including data governance and compliance reviews to support various analytics initiatives.
• Develop and maintain highly available data products, models, and data marts.
• Collaborate with cross‑functional teams to drive Cloud and Infrastructure Cost Management capabilities.
• Support Fin Ops and Capacity Analytics through data engineering solutions.
• Troubleshoot data currency and integration issues to ensure data reliability and accuracy.

In order to qualify for and be successful in this role, you should have:

• 5+ years of demonstrated end‑to‑end Python, SQL, and ETL tool development to automate and accelerate data acquisition, manage data products, transformations, enrichment, and data pipelines at scale.
• 3+ years of experience working with on‑premises and cloud‑based infrastructure services such as SaaS, IaaS, Fin Tech, capacity planning, supply chain, or data analytics environments.
• Extensive experience in Data Engineering and Dev Ops within a data, Fin Ops or analytics‑focused organization.
• Strong programming skills in Python, SQL, Rust, Unix programming, and similar languages.
• Experience working with on‑premises and cloud data warehouse, DBMS, data lake platforms, technologies, most specifically Hadoop, Snowflake, No
  
  SQL, HDFs, Spark, Kafka, Trino, etc.
• Familiarity with data transformations, data pipeline concepts, including ETL, ELT, streaming, Lambda, and patterns such as change data capture, SCD, lineage, and orchestration tools such as (e.g., Apache Airflow, or similar).
• Familiarity with CI/CD best practices and automation tools such as Jenkins and agile development environments.
• Experience with developing data insights and dashboards using Tableau and Tableau Prep.
• Excellent written and verbal communication skills, willing to prepare knowledge base, operational procedures, and change plans.
• Experience working with the Service Now platform, data management frameworks, and API's is a plus.
• Ability to work independently, execute with agility, and learn in a fast‑paced environment.
• Exceptional team player with a collaborative mindset.

Education

• Bachelor's degree in Computer Science, Data Science, Management Information Systems, Mathematics, or a related field. Equivalent work experience is also acceptable for the position.

Manager’s Notes

• Proficient in programming languages like Python, SQL, Rust, and shell scripting to build and support automations and data products.
• Skilled in working with both on‑site and cloud‑based data storage solutions, including Hadoop, Snowflake, No
  
  SQL, and others.
• Knowledgeable about data processing and pipeline concepts, such as ETL, ELT, and tools like Apache Airflow.
• Understanding of Git Ops and CI/CD best practices and tools like Jenkins, as well as agile development.
• Experienced in managing and creating data insights and dashboards using Tableau.

Backgrounds/skills that can be flexible and learned on the job

• Service Now Platform and API integrations
• Homegrown ingestion pipelines

Onsite/Travel Requirements

• Hybrid in Kirkland WA, onsite 3 days a week.

Opportunity to convert to FTE

• Yes

Interview Process

• 45‑minute technical competency and capabilities
• 30‑minute behavioral and team fit
• 30‑minute with Manager

Pay Rate Range

• $85-91.03/hr.

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Business Development

Industries

• Staffing and Recruiting

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